Zobrazeno 1 - 10
of 2 271
pro vyhledávání: '"De Xing"'
Autor:
Jinhai Wang, Baofeng Su, De Xing, Timothy J. Bruce, Shangjia Li, Logan Bern, Mei Shang, Andrew Johnson, Rhoda Mae C. Simora, Michael Coogan, Darshika U. Hettiarachchi, Wenwen Wang, Tasnuba Hasin, Jacob Al-Armanazi, Cuiyu Lu, Rex A. Dunham
Publikováno v:
Engineering, Vol 39, Iss , Pp 273-286 (2024)
As a precise and versatile tool for genome manipulation, the clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) platform holds promise for modifying fish traits of interest. With the aim of reducing
Externí odkaz:
https://doaj.org/article/3b727c4ca2634ccca087b249f2597fc7
Autor:
Wenwen Wang, Suxu Tan, Yujia Yang, Tao Zhou, De Xing, Baofeng Su, Jinhai Wang, Shangjia Li, Mei Shang, Dongya Gao, Rex Dunham, Zhanjiang Liu
Publikováno v:
Epigenetics, Vol 17, Iss 12, Pp 1820-1837 (2022)
Exogenous oestrogen 17β-oestradiol (E2) has been shown to effectively induce feminization in teleosts. However, the molecular mechanisms underlying the process remain unclear. Here, we determined global DNA methylation and gene expression profiles o
Externí odkaz:
https://doaj.org/article/f26409086f974a40a00773aa26fd563d
Publikováno v:
BMC Plant Biology, Vol 21, Iss 1, Pp 1-11 (2021)
Abstract Background Plant mitochondrial transcription termination factor (mTERF) family members play important roles in development and stress tolerance through regulation of organellar gene expression. However, their molecular functions have yet to
Externí odkaz:
https://doaj.org/article/9f62f29e4a0d416d9ba57a2573f9c682
Autor:
Huang, De-Xing, Zhou, Xiao-Hu, Gui, Mei-Jiang, Xie, Xiao-Liang, Liu, Shi-Qi, Wang, Shuang-Yi, Li, Hao, Xiang, Tian-Yu, Hou, Zeng-Guang
Iodinated contrast agents are widely utilized in numerous interventional procedures, yet posing substantial health risks to patients. This paper presents CAS-GAN, a novel GAN framework that serves as a ``virtual contrast agent" to synthesize X-ray an
Externí odkaz:
http://arxiv.org/abs/2410.08490
Autor:
Rhoda Mae C. Simora, De Xing, Max R. Bangs, Wenwen Wang, Xiaoli Ma, Baofeng Su, Mohd G. Q. Khan, Zhenkui Qin, Cuiyu Lu, Veronica Alston, Darshika Hettiarachchi, Andrew Johnson, Shangjia Li, Michael Coogan, Jeremy Gurbatow, Jeffery S. Terhune, Xu Wang, Rex A. Dunham
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-14 (2020)
Abstract CRISPR/Cas9-based gene knockout in animal cells, particularly in teleosts, has proven to be very efficient with regards to mutation rates, but the precise insertion of exogenous DNA or gene knock-in via the homology-directed repair (HDR) pat
Externí odkaz:
https://doaj.org/article/cdedef54f68c49f1baf0d0bd4a6c8ded
Autor:
Huang, De-Xing, Zhou, Xiao-Hu, Xie, Xiao-Liang, Liu, Shi-Qi, Wang, Shuang-Yi, Feng, Zhen-Qiu, Gui, Mei-Jiang, Li, Hao, Xiang, Tian-Yu, Yao, Bo-Xian, Hou, Zeng-Guang
Automatic vessel segmentation is paramount for developing next-generation interventional navigation systems. However, current approaches suffer from suboptimal segmentation performances due to significant challenges in intraoperative images (i.e., lo
Externí odkaz:
http://arxiv.org/abs/2406.19749
Publikováno v:
Remote Sensing, Vol 14, Iss 20, p 5089 (2022)
Advanced Microwave Scanning Radiometer 2 (AMSR2) brightness temperature (TB) observations have long been utilized for snow depth (SD) estimation. However, the traditional approaches which are based on ‘point-to-point’ predictions ignore the spati
Externí odkaz:
https://doaj.org/article/236182d436e9476da9bc1866a831da2a
Publikováno v:
Remote Sensing, Vol 14, Iss 8, p 1795 (2022)
Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover product is one of the prevailing datasets for global snow monitoring, but cloud obscuration leads to the discontinuity of ground coverage information in spatial and temporal. To solve t
Externí odkaz:
https://doaj.org/article/9f3fa932c4034bfda1cb6e857e856bb3
Autor:
Huang, De-Xing, Zhou, Xiao-Hu, Xie, Xiao-Liang, Liu, Shi-Qi, Feng, Zhen-Qiu, Gui, Mei-Jiang, Li, Hao, Xiang, Tian-Yu, Liu, Xiu-Ling, Hou, Zeng-Guang
Medical image segmentation takes an important position in various clinical applications. Deep learning has emerged as the predominant solution for automated segmentation of volumetric medical images. 2.5D-based segmentation models bridge computationa
Externí odkaz:
http://arxiv.org/abs/2401.11856
Autor:
Liu, Xiao-Yin, Zhou, Xiao-Hu, Li, Guotao, Li, Hao, Gui, Mei-Jiang, Xiang, Tian-Yu, Huang, De-Xing, Hou, Zeng-Guang
Offline reinforcement learning (RL) faces a significant challenge of distribution shift. Model-free offline RL penalizes the Q value for out-of-distribution (OOD) data or constrains the policy closed to the behavior policy to tackle this problem, but
Externí odkaz:
http://arxiv.org/abs/2312.03991